Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning.

Recent years have witnessed the proliferation of techniques for streaming data mining to meet the demands of many real-time systems, where high-dimensional streaming data are generated at high speed, increasing the burden on both hardware and software. Some feature selection algorithms for streaming data are proposed to tackle this issue. However, these algorithms do not consider the distribution shift due to nonstationary scenarios, leading to performance degradation when the underlying distribution changes in the data stream. To solve this problem, this article investigates feature selection in streaming data through incremental Markov boundary (MB) learning and proposes a novel algorithm. Different from existing algorithms focusing on prediction performance on off-line data, the MB is learned by analyzing conditional dependence/independence in data, which uncovers the underlying mechanism and is naturally more robust against the distribution shift. To learn MB in the data stream, the proposal transforms the learned information in previous data blocks to prior knowledge and employs them to assist MB discovery in current data blocks, where the likelihood of distribution shift and reliability of conditional independence test are monitored to avoid the negative impact from invalid prior information. Extensive experiments on synthetic and real-world datasets demonstrate the superiority of the proposed algorithm.

Acid-degradable nanocomposite hydrogel and glucose oxidase combination for killing bacterial with photothermal augmented chemodynamic therapy.

Bacterial infection often delays diabetic wound healing, and even causes serious life-threatening complications. Herein, we successfully developed a Cu2O/Pt nanocubes-dopping alginate (ALG)- hyaluronic acid (HA) hydrogel (Cu2O/Pt hydrogel) by simple assembly of the Cu2O/Pt nanocubes and the ALG-HA mixture. The Cu2O/Pt hydrogel combined with the glucose oxidase (GOx) can be used for photothermal- and starving-enhanced chemodynamic therapy (CDT) against Gram-negative and Gram-positive bacteria. The GOx can catalyze the glucose to produce gluconic acid and H2O2 for starvation therapy, following which the released Cu2O/Pt nanocubes react with H2O2 in the acidic microenvironment to generate highly cytotoxic hydroxyl radicals (·OH) for CDT. Additionally, the Cu2O/Pt hydrogel can release copper ions gradually with the decrease of pH induced by gluconic acid, which can increase the protein expression and secretion of vascular endothelial growth factor (VEGF) and promote endothelial cell proliferation, migration and angiogenesis, subsequently promoting diabetic wound healing in rats. Our results suggested that the Cu2O/Pt hydrogel combined with GOx may be a potential therapeutic approach for treating the infected diabetic wound.

Winning color-tunable upconversion luminescence and high-sensitive optical thermometry in K3Gd(PO4)2:Yb3+,Er3+,Tm3.

A series of Yb3+, Er3+, Tm3+ co-doped K3Gd(PO4)2 are prepared via the solid-state reaction method. Upon 980 nm excitation, the synthesized samples present color-tunable upconversion luminescence ranging from yellow to blue with the increment of Tm3+ doping contents. The upconversion mechanisms of Yb3+, Er3+, Tm3+ co-doped system are systematically investigated in detail. Varying contents of Tm3+ can appropriately alter the upconversion emissions of blue, green and red via possible energy transfer processes. Furthermore, the thermometric performances of phosphors associated with upconversion luminescence are analyzed in the temperature region of 300-675 K. By employing non-thermally coupled energy levels (2H11/2/4F9/2 of Er3+), the maximum relative and absolute sensitivity reaches 0.78 % K-1 and 0.168 K-1. Combining the sensitivity characteristic and repeatability of thermometer, the luminescence intensity ratio technology based on non-thermally coupled energy levels may be a more effective choice for optical thermometry. These excellent results will pave an avenue to K3Gd(PO4)2:Yb3+,Er3+,Tm3+ phosphors for the fields of color-tunable luminescence and non-contact temperature sensing.

Fluorinated Poly(aryl piperidinium) Membranes for Anion Exchange Membrane Fuel Cells.

Anion-exchange-membrane fuel cells (AEMFCs) are a cost-effective alternative to proton-exchange-membrane fuel cells (PEMFCs). The development of high-performance and durable AEMFCs requires highly conductive and robust anion-exchange membranes (AEMs). However, AEMs generally exhibit a trade-off between conductivity and dimensional stability. Here, a fluorination strategy to create a phase-separated morphological structure in poly(aryl piperidinium) AEMs is reported. The highly hydrophobic perfluoroalkyl side chains augment phase separation to construct interconnected hydrophilic channels for anion transport. As a result, these fluorinated PAP (FPAP) AEMs simultaneously possess high conductivity (>150 mS cm-1 at 80 °C) and high dimensional stability (swelling ratio <20% at 80 °C), excellent mechanical properties (tensile strength >80 MPa and elongation at break >40%) and chemical stability (>2000 h in 3 m KOH at 80 °C). AEMFCs with a non-precious Co-Mn spinel cathode using the present FPAP AEMs achieve an outstanding peak power density of 1.31 W cm-2 . The AEMs remain stable over 500 h of fuel cell operation at a constant current density of 0.2 A cm-2 .

Deregulated bile acids may drive hepatocellular carcinoma metastasis by inducing an immunosuppressive microenvironment.

Bile acids (BAs) are physiological detergents that can not only promote the digestion and absorption of lipids, but also may be a potential carcinogen. The accumulation of BAs in the body can lead to cholestatic liver cirrhosis and even liver cancer. Recently, studies demonstrated that BAs are highly accumulated in metastatic lymph nodes, but not in normal healthy lymph nodes or primary tumors. Lymph node metastasis is second only to hematogenous metastasis in liver cancer metastasis, and the survival and prognosis of hepatocellular carcinoma (HCC) patients with lymph node metastasis are significantly worse than those without lymph node metastasis. Meanwhile, component of BAs was found to significantly enhance the invasive potential of HCC cells. However, it is still poorly understood how deregulated BAs fuel the metastasis process of liver cancer. The tumor microenvironment is a complex cellular ecosystem that evolves with and supports tumor cells during their malignant transformation and metastasis progression. Aberrant BAs metabolism were found to modulate tumor immune microenvironment by preventing natural killer T (NKT) cells recruitment and increasing M2-like tumor-associated macrophages (TAMs) polarization, thus facilitate tumor immune escape and HCC development. Based on these available evidence, we hypothesize that a combination of genetic and epigenetic factors in cancerous liver tissue inhibits the uptake and stimulates the synthesis of BAs by the liver, and excess BAs further promote liver carcinogenesis and HCC metastasis by inducing immunosuppressive microenvironment.

Relationship between serum indirect bilirubin and prostate volume in patients with benign prostatic hyperplasia: a cross-sectional study.

Background: Due to its anti-oxidative effects, bilirubin may protect against a spectrum of diseases. However, the role of bilirubin in patients with benign prostatic hyperplasia (BPH) is poorly explored. This study aimed to investigate the cross-sectional associations between serum indirect bilirubin (IBIL) and prostate volume (PV) in patients with BPH. Methods: The medical records of 722 BPH patients were retrospectively analyzed. Body mass index (BMI) was calculated as body weight (kg)/height (m)2. PV was obtained as height (cm) × width (cm) × length (cm) × π/6. Other biochemical indexes were measured by the automatic biochemical analyzer. A univariable linear regression analysis was performed to detect confounders. The IBIL-PV relationship was examined using unadjusted and covariate-adjusted regression models. Furthermore, a segmented linear regression was conducted to analyze the linear trend of IBIL levels and PV. Finally, the sensitivity analysis was stratified by BMI and low-density lipoprotein cholesterol (LDL-C) cutoffs. Results: In this study, the mean age of the patients was 68 (range, 43-93) years. By univariable line regression test, we observed that PV was positively correlated with age, BMI, and LDL-C (ß=0.113, 0.096, and 0.135, respectively). IBIL was negatively associated with PV in full adjusted model in men age ≤75 years (ß=-1.01; 95% CI: -1.81, -0.22; P=0.01). A statistically significant inverse trend was observed between serum IBIL intervals and PV in patients aged ≤75 years (adjusted for age, BMI, and LDL-C, P for trend =0.015). In sensitivity analysis, significantly negative IBIL-PV relationship only existed in men with normal BMI (adjusted ß=-1.328; 95% CI: -2.467, -0.190; P=0.022), overweight men (adjusted ß=-1.296; 95% CI: -2.519, -0.074; P=0.038), and men with normal LDL-C level (adjusted ß=-1.017; 95% CI: -1.869, -0.164; P=0.019). Conclusions: IBIL is negatively associated with PV in the non-obese population ≤75 years with normal LDL-C. These results suggest that higher serum IBIL possibly provides a degree of protection to BPH by mitigating oxidative stress (OS) related to aging and lipid peroxidation. Nevertheless, these preliminary findings from a single-center, retrospective study have limitations and need to be confirmed by future studies.

Synthesis of core-shell nanoparticles based on interfacial energy transfer for red emission and highly sensitive temperature sensing.

Red up-conversion luminescence with both emission and excitation peaks within the "tissue transparency window" makes for ideal fluorescent labels for deep tissue penetration and low-background biological imaging. In this work, an efficient strategy is proposed to realize bright red up-conversion luminescence based on interfacial energy transfer (IET), and the luminescence centers (Er3+ and Tm3+) and sensitizers (Yb3+) are doped in separate layers to avoid deleterious cross-relaxation. The IET process between Yb3+ and Er3+ can enable bright red photon up-conversion under 980 nm excitation via fine control and manipulation of the lanthanide ion concentration and shell thickness. By appropriately employing the fluorescence intensity ratio technique, an optical thermometer based on non-thermally coupled energy levels demonstrates a superior relative sensitivity of 2.02% K-1 across the whole temperature region. NaYF4:Er3+,Tm3+@NaYF4:Yb3+ with strong red UC luminescence and highly sensitive performance exhibits potential for application in the field of non-contact temperature sensing.

Synthesis and Evaluation of LaBaCo2-xMoxO5+δ Cathode for Intermediate-Temperature Solid Oxide Fuel Cells.

LaBaCo2-xMoxO5+δ (LBCMx, x = 0-0.08) cathodes synthesized by a sol-gel method were evaluated for intermediate-temperature solid oxide fuel cells. The limit of the solid solubility of Mo in LBCMx was lower than 0.08. As the content of Mo increased gradually from 0 to 0.06, the thermal expansion coefficient decreased from 20.87 × 10-6 K-1 to 18.47 × 10-6 K-1. The introduction of Mo could increase the conductivity of LBCMx, which varied from 464 S cm-1 to 621 S cm-1 at 800 °C. The polarization resistance of the optimal cathode LBCM0.04 in air at 800 °C was 0.036 Ω cm2, reduced by a factor of 1.67 when compared with the undoped Mo cathode. The corresponding maximum power density of a single cell based on a YSZ electrolyte improved from 165 mW cm-2 to 248 mW cm-2 at 800 °C.

Knowledge Verification From Data.

Knowledge verification is an important task in the quality management of knowledge graphs (KGs). Knowledge is a summary of facts and events based on human cognition and experience. Due to the nature of knowledge, most knowledge quality (KQ) management methods are designed by human experts or the characteristics of existing knowledge, which may be limited by human cognition and the quality of existing knowledge. Numerical data contain a wealth of potential information that may be helpful in verifying knowledge, which is rarely explored. However, due to the implicit representation of numerical data to facts as well as the noise in the data, it is challenging to use data to verify the knowledge. Therefore, this article proposes a knowledge verification method, which discovers the correlation and causality from numerical data to validate knowledge and then evaluate the quality of knowledge. Moreover, to address the impact of noise, the method integrates multisource knowledge to jointly evaluate the KQ. Specifically, an iterative update method is designed to update KQ by utilizing the consistency between multisource knowledge while designing knowledge verification factors based on data causality and correlation to manage update process. The method is validated with multiple datasets, and the results demonstrate that the proposed method could evaluate KQ more accurately and has strong robustness to noise in the data.

Multi-Target Markov Boundary Discovery: Theory, Algorithm, and Application.

Markov boundary (MB) has been widely studied in single-target scenarios. Relatively few works focus on the MB discovery for variable set due to the complex variable relationships, where an MB variable might contain predictive information about several targets. This paper investigates the multi-target MB discovery, aiming to distinguish the common MB variables (shared by multiple targets) and the target-specific MB variables (associated with single targets). Considering the multiplicity of MB, the relation between common MB variables and equivalent information is studied. We find that common MB variables are determined by equivalent information through different mechanisms, which is relevant to the existence of the target correlation. Based on the analysis of these mechanisms, we propose a multi-target MB discovery algorithm to identify these two types of variables, whose variant also achieves superiority and interpretability in feature selection tasks. Extensive experiments demonstrate the efficacy of these contributions.

Semi-Supervised Multiview Feature Selection With Adaptive Graph Learning.

As data sources become ever more numerous with increased feature dimensionality, feature selection for multiview data has become an important technique in machine learning. Semi-supervised multiview feature selection (SMFS) focuses on the problem of how to obtain a discriminative feature subset from heterogeneous feature spaces in the case of abundant unlabeled data with little labeled data. Most existing methods suffer from unreliable similarity graph structure across different views since they separate the graph construction from feature selection and use the fixed graphs that are susceptible to noisy features. Furthermore, they directly concatenate multiple feature projections for feature selection, neglecting the contribution diversity among projections. To alleviate these problems, we present an SMFS to simultaneously select informative features and learn a unified graph through the data fusion from aspects of feature projection and similarity graph. Specifically, SMFS adaptively weights different feature projections and flexibly fuses them to form a joint weighted projection, preserving the complementarity and consensus of the original views. Moreover, an implicit graph fusion is devised to dynamically learn a compatible graph across views according to the similarity structure in the learned projection subspace, where the undesirable effects of noisy features are largely alleviated. A convergent method is derived to iteratively optimize SMFS. Experiments on various datasets validate the effectiveness and superiority of SMFS over state-of-the-art methods.

Quality Evaluation of Triples in Knowledge Graph by Incorporating Internal With External Consistency.

The evaluation of knowledge quality (KQ) in multisource knowledge graphs (KGs) is an essential step for many applications, such as fragmented knowledge fusion and knowledge base construction. Many existing quality evaluation methods for multisource knowledge are based on validation from high-quality knowledge bases or statistical analysis of knowledge related to a specific fact from multiple sources, named external consistency (EC)-based methods. However, high-quality KGs are difficult to obtain, and there might exist incorrect knowledge in multisource KGs interfering with KQ evaluation. To address the issue, this article refers to the internal structure of a KG to evaluate the degree to which the contained triples conform to the overall semantic pattern of the KG, such as KG embedding and logic inference-based approaches, defined as internal consistency (IC) evaluation. The IC is integrated with the EC to identify possible incorrect triples and reduce their influences on the KQ evaluation, thus alleviating the interference of incorrect knowledge. The proposed method is verified with multiple datasets, and the results demonstrate that the proposed method could significantly reduce wrong evaluations caused by incorrect knowledge and effectively improve the quality evaluation of triples.

Ultrasound Sensing Using Packaged Microsphere Cavity in the Underwater Environment.

The technologies of ultrasound detection have a wide range of applications in marine science and industrial manufacturing. With the variation of the environment, the requirements of anti-interference, miniaturization, and ultra-sensitivity are put forward. Optical microcavities are often carefully designed for a variety of ultra-sensitive detections. Using the packaged microsphere cavity, we fabricated an ultrasound sensor that can work in an underwater environment. During practical detection, the optical resonance mode of the cavity can work with real-time response accordingly. The designed structure can work in various complex environments and has advantages in the fields of precision measurement and nano-particle detection.

Unexpected detection of a submillimeter early hepatocellular carcinoma focus by intraoperative near-infrared fluorescence imaging-a case report.

Background: Prognosis of hepatocellular carcinoma (HCC) is closely related to residual tumor cells and tissues after tumor resection. Thus, close monitoring to ensure complete removal of residual tumor is fundamental. In this regard, intraoperative near-infrared fluorescence (NIRF) imaging has been of great assistance to surgeons for precision cancer surgeries. However, up to now, the identification of tiny lesions has not been reported. Herein, we report our findings on the case of an ultra-small HCC focus of about 430 µm that was successfully detected using NIRF during real-time monitored liver cancer surgery. The patient had a background of hepatitis B cirrhosis, which is the most phenomenon in China. Surgeons usually unable to distinguish sclerotic nodules from small tumor tissue with the naked eyes. Case Description: A 55-year-old man with chronic hepatitis B infection was preoperatively diagnosed with a space-occupying liver lesion. A fluorescence signal was detected on the surface of the liver through the NIRF imaging system which had not been found by preoperative computed tomography (CT) and ultrasound examination. We subsequently tested the residual liver surface and observed a high signal point, less than 1 mm in the right anterior lobe of the liver. Histopathological examination revealed that the tiny fluorescent spot belong to an early HCC focus. Conclusions: Based on these results, we think indocyanine green (ICG)-NIRF imaging may be used as a routine intraoperative detection method for liver cancer surgery in order to remove any residual tumor cells and tissue, hence minimizing further risk of remnant tumor regrowth.

Genome-wide methylation profiling of early colorectal cancer using an Illumina Infinium Methylation EPIC BeadChip.

BACKGROUND: DNA methylation is a part of epigenetic modification, that is closely related to the growth and development of colorectal cancer (CRC). Specific methylated genes and methylated diagnostic models of tumors have become current research focuses. The methylation status of circulating DNA in plasma might serve as a potential biomarker for CRC. AIM: To investigate genome-wide methylation pattern in early CRC using the Illumina Infinium Human Methylation 850K BeadChip. METHODS: The 850K Methylation BeadChip was used to analyze the genome-wide methylation status of early CRC patients (n = 5) and colorectal adenoma patients (n = 5). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment analyses were performed on the selected differentially methylated sites to further discover candidate methylation biomarkers in plasma. RESULTS: A total of 1865 methylated CpG sites with significant differences were detected, including 676 hypermethylated sites and 1189 hypomethylated sites. The distribution of these sites covered from the 1st to 22nd chromosomes and are mainly distributed on the gene body and gene promoter region. GO and KEGG enrichment analysis showed that the functions of these genes were related to biological regulation, molecular binding, transcription factor activity and signal transduction pathway. CONCLUSION: The study demonstrated that the Illumina Infinium Human Methylation 850K BeadChip can be used to investigate genome-wide methylation status of plasma DNA in early CRC and colorectal adenoma patients.

circ3323 Motivates Host Gene to Promote the Aggressiveness of Bladder Cancer.

Bladder cancer (BCa) is the most common cancer in the urinary system with high recurrence rate and poor prognosis. Circular RNA (circRNA) is a novel subclass of noncoding-RNA which participate in progression of BCa. Here, we identified a novel circRNA-circ3323 and aimed to investigate the role of circ3323 in progression of BCa. Public data of RNA sequencing was used to identify significant circRNA related to BCa. The role of circRNAs in progression of BCa was assessed in cytotoxicity assay, transwell assay and flow cytometry. Biotin-coupled RNA pull-down and fluorescence in situ hybridization were performed to evaluate the interaction between circRNAs and miRNAs. The expression of circ3323 was higher in BCa tissues and cells than in normal samples. Experiments in vitro showed that the knockdown of circ3323 inhibited cell proliferation and impeded the metastasis of BCa cells. Mechanistically, we demonstrated that circ3323 acts as a sponge for miR-186-5p and promotes host gene APP's expression. Clinically, circ3323 predicts worse overall survival of BCa patients, indicating its prognostic value. Our study identified that circ3323 modulates metastasis of BCa through miR-186-5p/APP axis and may serve as a promising prognostic biomarker for BCa, which provides novel insights into treatment of BCa.

Branched Poly(Aryl Piperidinium) Membranes for Anion-Exchange Membrane Fuel Cells.

Anion-exchange membrane fuel cells (AEMFCs) are a promising, next-generation fuel cell technology. AEMFCs require highly conductive and robust anion-exchange membranes (AEMs), which are challenging to develop due to the tradeoff between conductivity and water uptake. Here we report a method to prepare high-molecular-weight branched poly(aryl piperidinium) AEMs. We show that branching reduces water uptake, leading to improved dimensional stability. The optimized membrane, b-PTP-2.5, exhibits simultaneously high OH- conductivity (>145 mS cm-1 at 80 °C), high mechanical strength and dimensional stability, good processability, and excellent alkaline stability (>1500 h) in 1 M KOH at 80 °C. AEMFCs based on b-PTP-2.5 reached peak power densities of 2.3 W cm-2 in H2 -O2 and 1.3 W cm-2 in H2 -air at 80 °C. The AEMFCs can run stably under a constant current of 0.2 A cm-2 over 500 h, during which the b-PTP-2.5 membrane remains stable.

Optimal photon-magnon mode matching in whispering-gallery mode cavities.

Optomagnonic structures are widely studied in the field of nanophotonics and quantum information science. They are the key platforms for the realization of magnon-mediated microwave to optical transducers in various applications of quantum computing. In order to enhance the coupling between light (photons) and spin waves (magnons), here in this work, we use the Lagrange multiplication method to find the optimum matching condition between the optical whispering-gallery mode and the magnon with Kittle and higher-order modes in microresonators. It is found that the magnon modes located near the edge of the resonator exhibits stronger coupling strength with the optical modes. Numerically, we find the coupling constant can approach 87.6×2π H z in Kittle mode, and 459×2π H z in high-order magnon mode for a yttrium iron garnet (YIG, Y3Fe5O12 ) microdisk cavity with a radius of 300 microns and a thickness of 10 microns. We believe these results may provide an efficient way for enhancing the magneto-optical interaction in the optical devices, which will facilitate the development of magneto-optical control, optical-microwave interaction, and optical nonlinearity.

Comparing Prognosis Associated with Partial Cystectomy and Trimodal Therapy for Muscle-Invasive Bladder Cancer Patients.

OBJECTIVE: This study aimed to compare the survival outcomes between trimodal therapy (TT) and partial cystectomy (PC) in muscle-invasive bladder cancer (MIBC) patients. METHODS: The data of 13,096 patients with MIBC diagnosed between 2004 and 2015 were retrieved from the Surveillance, Epidemiology, and End Results database. Among them, 4,041 patients underwent TT and 1,670 patients underwent PC. Propensity score matching was performed to balance the characteristics between the 2 treatment groups. A multivariate Cox regression analysis model and a competing risk model were used to evaluate overall survival (OS) and cancer-specific survival. Cumulative incidence survival curves were obtained using the Kaplan-Meier method. RESULTS: Results of multivariate Cox analysis before propensity score matching showed that the TT group had a 31% reduction in cause-specific survival relative to the PC group (HR: 0.69, 95% CI: 0.61-0.78, p < 0.001) and a 28% reduction in OS (HR: 0.72, 95% CI: 0.66-0.79, p < 0.001). After propensity score matching, the 2 groups yielded 972 patients, with 3-year cause-specific survival rates of 54.1% and 68.5% in the TT group and the PC group, respectively. CONCLUSIONS: Patients who underwent PC had a better prognosis than those who received TT. In addition, for MIBC patients who required bladder-sparing therapy, advanced age (≥80 years), pathological type of squamous cell carcinoma, and tumor stage of T3-4, N2-3, and M1 were independent poor prognostic factors.